Survey Design and Analysis
Preface
The survey Package
Common Terms
1
Item Selection
1.1
Reliability and Validity
1.2
Item Generation
1.2.1
Cohen’s Kappa
1.2.2
Lawshe’s CVR
2
Survey Design
2.1
Simple Random Sampling
2.2
Stratified SRS
2.3
Power Analysis
2.4
Appendix: Bias
3
Statistical Power
3.0.1
Case Study
3.1
Multi-Stage
3.2
Survey Weights
4
Analyzing Survey Data
4.1
Defining the Survey Design
4.1.1
Simple Random Sample
4.1.2
Stratified Sample
4.1.3
Clustered
4.1.4
Example: NHANES
4.2
Exploring Categorical Items
4.3
Exploring Quantitative Data
4.4
Modeling Quantitative Data
4.5
Survey Administration
4.5.1
Instrument: Validity and Reliability
4.5.2
Data Collection
4.5.3
Frequencies
4.5.4
Correlations
4.6
Item Reduction
4.6.1
Parallel Analysis
4.6.2
Exporatory Factor Analysis
4.6.3
Cronbach’s Alpha
4.6.4
Split-Half
4.7
Confirmatory Factor Analysis
4.8
Convergent/Discriminant Validity
4.9
Replication
4.9.1
Criterion Validity
4.9.2
Test-Retest Reliability
4.10
Reporting
5
Simple Random Samples
6
Stratified Sampling
7
Best-Worst Scaling
7.1
Count Analysis
7.2
Model
8
Case Study
8.1
Sample Design Report
8.1.1
Executive summary
8.1.2
Sample design
8.1.3
Sample size and allocation
8.1.4
Appendix
References
Published with bookdown
Survey Design and Analysis
Chapter 3
Statistical Power
https://sphweb.bumc.bu.edu/otlt/MPH-Modules/BS/BS704_Power/BS704_Power3.html
3.0.1
Case Study
3.1
Multi-Stage
3.2
Survey Weights